About the job
QIMA is experiencing rapid growth with operations spanning over 100 countries. To keep pace with our expansion and a continuous influx of acquisitions, we are enhancing our Group Finance operations to be agile, resilient, and scalable. As part of the One QIMA Finance initiative, we are transitioning from disjointed, manual workflows to an integrated, AI-first operational model.
The Finance Transformation Analyst (Data & AI) plays a vital role within the Finance Transformation SWAT Team. This position is geared towards individuals who are builders and problem solvers, functioning like a technical product manager for finance. Instead of merely maintaining existing processes, you will be responsible for engineering improved workflows that leverage data, automation, and artificial intelligence to reduce friction, mitigate risks, and prevent complexity as we grow.
Role Purpose
The Finance Transformation Analyst is tasked with designing, building, and embedding AI-enabled finance workflows across the organization. Collaborating closely with Finance, Global Shared Services, Technology, and Data teams, you will translate operational challenges into sustainable, scalable solutions—ensuring our finance processes become quicker, safer, and increasingly automated as QIMA evolves.
This role is focused on delivery and results, firmly positioned on the transformational side of our Finance operating model.
Core Accountabilities – The “SWAT Team” Mandate
- Productise Finance Workflows
- Approach finance processes (e.g., billing, closing, reconciliations, compliance checks) as products with clearly defined users, inputs, outputs, and success metrics.
- Map comprehensive user journeys (e.g., invoice to cash, journal to consolidation) to identify friction points, rework, and control gaps.
- Redesign workflows to eliminate manual steps, enhance auditability, and boost automation.
- AI & Digital Worker Deployment
- Design, implement, and refine AI-enabled digital workers to manage high-volume, rule-based, or logic-intensive finance activities.
- Apply AI to various use cases such as multi-language invoice and document validation, cross-currency bank reconciliation, exception detection and anomaly flagging, and compliance checks across jurisdictions.
- Ensure AI solutions adhere to governance standards, are comprehensible, and comply with finance regulations.
- M&A Integration Engineering
- Serve as a hands-on technical lead for finance integration workstreams during acquisitions.